• 社会网络分析简介

• 社会网数据的基本概念
  • 关系类型
  • 网络类型
  • 网络表示方式
• 社会网数据的构成
  • 边数据
  • 点数据

• 可视化的目的与方式

Social/Graph theories

– Two-step flow theory
– Three degree of influence 
– Social balance
– Social status

Graph theories

– Graph categories
– Network measures
– Network generation model

Deep learning algorithm

– RNN
– LSTM
– Attention mechanism 
– CNN

• Directed/Undirected/Mixed graphs

  – Directed edges: friend relationships – Undirected edges: follow relationships

• Simple graphs

  – Only one edge could exist between any pair of nodes

• Multigraphs

  – Multiple edges exist between two nodes: two users can be friends and, at the same time, colleagues, group members, or other relation

• Weighted graphs

  – Weight: the number of links between two web sites

  – Signed graph, e.g.，A+edge(friend),a-edge(foe); A+edge(highersocialstatus),a-edge(lowersocialstatus)

单模网与双模网

对称网

有价网

附属网

有向网、表示方式2

所有社会网络内部结构都可以用邻接矩阵表示

edgelist

nodelist